Web site development - 140 CHAPTER 4 ADDING CONTRIBUTED MODULES Navigate
140 CHAPTER 4 ADDING CONTRIBUTED MODULES Navigate to administer . spam . URL filters (admin/spam/urls), and you will see an overview of the URLs that the Spam module recognizes as spam URLs. This page also shows how many times each URL has been matched as spam, how many times it has been identified with content that is not spam, the spam probability that it carries (from 1 to 99), and the date of the last match. This page can be useful for removing false positives from the filter in case a spammer does something nasty, like including a link to a legitimate site in her spam, thus tricking the spam filter into thinking that URL, too, is spam. You can also use this page to take preventative measures and block URLs that you know are spammer sites from other sources. Your e-mail inbox could be a good source of these URLs. Every one of those free software and cheap drugs sites that are advertised in e-mail spam deserves to be fed to your site s spam filter. To do this, simply add the domain to the Add New URL Filter section and click Add New URL Filter. If the same witless spammer decides to expand and target your web site as well as your inbox, he will be out of luck. Creating Custom Filters Next to the URL Filters tab is a tab named Custom Filters (admin/spam/custom). Custom filters are a tool for you to help teach the filter by feeding it words, phrases, or regular expressions and telling it what to do with them when they are matched. You create a new custom filter by entering a word, phrase, or Perl-compatible regular expression into the Custom Filter field. If it is a regular expression, you also need to check the Regular Expression check box, and your expression will be checked for validity when you submit the form. Then you need to determine what is to be done with the content that is found to match this filter by making a selection in the Match Effect field. The options are as follows: Always spam (blacklist) Usually spam (graylist) Usually not spam (graylist) Never spam (whitelist) These various classifications affect the probability rating that the content is spam. Remember that the whole point of the Bayesian filter is to establish this rating, so your custom filter is simply taking part in all of the other calculations that will occur when any post or comment is being considered. Here are the technical details, taken from the help text for custom filters: If your filter defines always spam, this increases the chances the new content will be marked spam by 200%. If your filter defines usually spam, this increases the chances the new content will be marked spam by 50%. If your filter defines usually not spam, this decreases the chances the new content will be marked spam by 50%. And if your filter defines never spam, this decreases the chances the new content will be marked spam by 200%. Since the same content can match several filters, they can play complementary or opposing roles. If a comment matches one Always Spam filter and five Usually Not Spam filters, the weight will be in favor of usually not spam, and the chances that the comment will be marked
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